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- #!/usr/bin/python2.5
- #
- # Copyright 2016 Olivier Gillet.
- #
- # Author: Olivier Gillet (ol.gillet@gmail.com)
- #
- # Permission is hereby granted, free of charge, to any person obtaining a copy
- # of this software and associated documentation files (the "Software"), to deal
- # in the Software without restriction, including without limitation the rights
- # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- # copies of the Software, and to permit persons to whom the Software is
- # furnished to do so, subject to the following conditions:
- #
- # The above copyright notice and this permission notice shall be included in
- # all copies or substantial portions of the Software.
- #
- # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
- # THE SOFTWARE.
- #
- # See http://creativecommons.org/licenses/MIT/ for more information.
- #
- # -----------------------------------------------------------------------------
- #
- # Waveform definitions.
-
- import numpy
- import pylab
-
-
- WAVETABLE_SIZE = 256
- BRAIDS_WAVES = numpy.fromstring(
- file('plaits/resources/waves.bin', 'rb').read(), numpy.uint8)
-
- wavetables = []
-
- def sine(frequency):
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- if frequency >= WAVETABLE_SIZE / 2:
- return t * 0
- x = numpy.sin(2 * numpy.pi * t * frequency)
- return x
-
-
- def comb(n):
- x = 0
- for i in xrange(n):
- x += sine(i + 1)
- return x
-
-
- def pair(n):
- x = 0
- for i in xrange(n):
- x += sine(i + 1) * (i + 0.5) / (n - 1.0)
- x += sine((i + 1) * 4) * (i + 0.5) / (n - 1.0) * 0.5
- return x
-
-
- def tri(n, f=1):
- x = 0
- for i in xrange(n):
- x += sine((2 * i + 1) * f) / (2 * i + 1) ** 2.0
- return x
-
-
- def tri_stack(n):
- x = 0
- for i in xrange(n):
- x += tri(15 + 5 * n, i + n / 3)
- return x
-
-
- def saw(n, f=1):
- x = 0
- for i in xrange(n):
- x += sine((i + 1) * f) / (i + 1)
- return x
-
-
- def saw_stack(n):
- x = 0
- for i in xrange(n):
- x += saw(1 + 6 * i, i + 1) / ((i + 1) ** 0.5)
- return x
-
-
- def square(n):
- x = 0
- for i in xrange(n):
- x += sine(2 * i + 1) / (2 * i + 1)
- return x
-
-
- def quadra(n):
- x = 0
- for harmonic, amplitude in zip(xrange(4), [1, 0.5, 1, 0.5]):
- x += sine(2 * n + 2 * harmonic + 1) * amplitude
- return x
-
-
- def drawbars(bars):
- pipes = [1.0, 3.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 16.0]
- x = 0
- for intensity, frequency in zip(bars, pipes):
- x += int(intensity) / 8.0 * sine(frequency)
- return x
-
-
- def pulse(duty):
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- t[-1] = t[0]
- t[t < duty] = -1.0
- t[t >= duty] = 1.0
- return -t
-
-
- def burst(duty):
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- t[-1] = t[0]
- d = duty ** 0.5
- t[t < d] = -1.0
- t[t >= d] = 0.0
- return -t * sine(1.0 / duty)
-
-
- def hybrid(duty):
- cycle = (numpy.arange(0, WAVETABLE_SIZE) + int((duty - 0.5) * WAVETABLE_SIZE)) % WAVETABLE_SIZE
- x = pulse(duty)
- x += saw(80)[cycle]
- x -= (x.mean())
- return x
-
-
- def trisaw(harmonic):
- return tri(80) + saw(80, harmonic) * (1 if harmonic != 1 else 0.25) * 0.5
-
-
- def sawtri(harmonic):
- return saw(80) * 0.5 + tri(80, harmonic) * (1 if harmonic != 1 else 0.25)
-
-
- def square_formant(ratio):
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- phase = t * (ratio ** 0.5) * 0.5
- phase[phase >= 1.0] = 1.0
- amplitude = numpy.cos(phase * numpy.pi) + 1
- formant = (sine(ratio * 0.75) + 1.0) * amplitude * 0.5
- formant -= (formant.max() + formant.min()) / 2.0
- return formant
-
-
- def saw_formant(ratio):
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- amplitude = 1.0 - t
- formant = (sine(ratio) + 1.0) * amplitude * 0.5
- formant -= (formant.max() + formant.min()) / 2.0
- return formant
-
-
- def bandpass_formant(ratio):
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- amplitude = 1.0 - t
- formant = sine(ratio * 1.5) * amplitude * 0.5
- return formant
-
-
- def sine_power(power):
- x = sine(1.0)
- x += saw(16)
- power = 2.0 ** power
- return numpy.sign(x) * (numpy.abs(x) ** power)
-
-
- def formant_f(index):
- formant_1 = 3.9 * (index + 1) / 8.0
- formant_2 = formant_1 * (1.0 - numpy.cos(formant_1 * numpy.pi * 0.8))
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- amplitude_1 = (1.0 - t) ** 0.2 * numpy.exp(-4.0 * t)
- amplitude_2 = (1.0 - t) ** 0.2 * numpy.exp(-2.0 * t)
- formant_3 = sine(1 + 2.8 * (formant_2 + formant_1)) * amplitude_2 * 1.7
- formant_1 = sine(1 + 3 * formant_1) * amplitude_1
- formant_2 = sine(1 + 4 * formant_2) * amplitude_2 * 1.5
- f = formant_1 + formant_2 + formant_3
- return f - (f.max() + f.min()) / 2.0
-
-
- def distort(x):
- return numpy.arctan(x * 8.0) / numpy.pi
-
-
- def digi_formant_f(index):
- formant_1 = 3.9 * (index + 1) / 8.0
- formant_2 = formant_1 * (1.0 - numpy.cos(formant_1 * numpy.pi * 0.8))
- t = numpy.arange(0, WAVETABLE_SIZE) / float(WAVETABLE_SIZE)
- amplitude_1 = (1.0 - t) ** 0.2 * numpy.exp(-4.0 * t)
- amplitude_2 = (1.0 - t) ** 0.2 * numpy.exp(-2.0 * t)
- formant_3 = distort(sine(1 + 2.9 * (formant_2 + formant_1))) * amplitude_2 * 0.7
- formant_1 = distort(sine(1 + 3.2 * formant_1)) * amplitude_1
- formant_2 = distort(sine(1 + 4.1 * formant_2)) * amplitude_2 * 0.7
- f = formant_1 + formant_2 + formant_3
- return f - (f.max() + f.min()) / 2.0
-
-
- def make_family(fn, arguments):
- return map(fn, arguments)
-
-
- def make_braids_family(indices, fix=False):
- family = []
- for i in indices:
- start = i * 129
- end = start + 128
- s = BRAIDS_WAVES[start:end] - 128.0
- if fix:
- sf = numpy.fft.rfft(s)
- else:
- si = numpy.zeros((WAVETABLE_SIZE, ))
- si = s
- # si[::2] = s
- # si[1::2] = s # Ewwwwww
- sf = numpy.fft.rfft(si)
- sf = numpy.abs(sf) * numpy.exp(-1j * numpy.pi / 2.0)
- interpolated = numpy.fft.irfft(sf, WAVETABLE_SIZE)
- family += [interpolated]
- return family
-
-
- # Bank 1: mild and additive.
- bank_1 = []
- bank_1 += make_family(sine, [1, 2, 3, 4, 5, 6, 7, 8])
- bank_1 += make_family(sine, [2, 3, 4, 6, 8, 12, 16, 24])
- bank_1 += make_family(quadra, [2, 3, 4, 6, 8, 12, 16, 24])
- bank_1 += make_family(comb, [2, 3, 5, 8, 13, 21, 34, 55])
- bank_1 += make_family(pair, [2, 4, 6, 8, 10, 12, 14, 16])
- bank_1 += make_family(tri_stack, [2, 4, 6, 8, 10, 12, 14, 16])
- bank_1 += make_family(drawbars, [
- '688600000',
- '686040000',
- '666806000',
- '655550600',
- '665560060',
- '688500888',
- '660000888',
- '060000046'])
- bank_1 += make_family(drawbars, [
- '867000006',
- '888876788',
- '668744354',
- '448644054',
- '327645222',
- '204675300',
- '002478500',
- '002050321'])
-
- # Bank 2: formantish.
- bank_2 = []
- bank_2 += make_family(trisaw, [1, 1.5, 2, 3, 4, 4.5, 5, 8])
- bank_2 += make_family(sawtri, [1, 1.5, 2, 3, 4, 4.5, 5, 8])
- bank_2 += make_family(burst, [0.5, 0.4, 1/3.0, 0.25, 0.2, 0.125, 1/16.0, 1/32.0])
- bank_2 += make_family(bandpass_formant, [2.0, 3.0, 4.0, 6.0, 8.0, 9.0, 10.0, 16.0])
- bank_2 += make_family(formant_f, xrange(8))
- bank_2 += make_family(digi_formant_f, xrange(8))
- bank_2 += make_family(pulse, [0.5, 0.4, 1/3.0, 0.25, 0.2, 0.125, 1/16.0, 1/32.0])
- bank_2 += make_family(sine_power, xrange(8))
-
- # Bank 3: shruthi/ambika/braids.
- bank_3 = []
- bank_3 += make_braids_family([0, 2, 4, 6, 8, 10, 12, 14]) # Male
- bank_3 += make_braids_family([32, 34, 36, 38, 40, 42, 44, 46]) # Choir
- # bank_3 += make_braids_family([64, 66, 68, 70, 72, 74, 76, 62]) # Tampura
- bank_3 += make_braids_family([176, 189, 191, 193, 195, 197, 199, 201]) # Digi
- bank_3 += make_braids_family([203, 204, 205, 206, 207, 208, 209, 211]) # Drone
- bank_3 += make_braids_family([220, 222, 224, 226, 228, 230, 232, 234]) # Metal
- bank_3 += make_braids_family([236, 238, 240, 242, 244, 246, 248, 250]) # Fant
- bank_3 += make_braids_family([172, 173, 174, 175, 176, 177, 178, 179], False)
- bank_3 += make_braids_family([180, 181, 182, 183, 184, 185, 186, 187], False)
-
- all_waves = bank_1 + bank_2 + bank_3
-
- # New wavetable code uses integrated wavetables
- # Reference:
- # "Higher-order integrated Wavetable Synthesis", Franck & Valimaki, DAFX-12.
- #
- # Here we use K = 1 (first order), N = 1 (linear interpolation).
- data = []
- for wave in all_waves:
- n = len(wave)
- x = numpy.array(list(wave) * 2 + wave[0] + wave[1] + wave[2] + wave[3])
- x -= x.mean()
- x /= numpy.abs(x).max()
-
- x = numpy.cumsum(x)
- x -= x.mean()
- x = list(numpy.round(x * (4 * 32768.0 / WAVETABLE_SIZE)).astype(int))
- data += list(x[-n-4:])
-
- wavetables.append(('integrated_waves', data))
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